Elamur Research⌕
☰
home / venues / Workshop on Clinical Natural Language… / 2023

Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2023 — accepted papers

Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2023 is the 2023 edition of the Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC (publisher: European Language Resources Association (ELRA)). The ACL Anthology lists 58 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

 58papers in the proceedings 1work in our library 55citations of these works

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  1. WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models ↗John Giorgi, Augustin Toma, Ronald Xie et al.27 citations
  2. Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations ↗Asma Ben Abacha, Wen-wai Yim, Griffin Adams et al.19 citations
  3. Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning ↗Giridhar Kaushik Ramachandran, Yujuan Fu, Bin Han et al.18 citations
  4. SummQA at MEDIQA-Chat 2023: In-Context Learning with GPT-4 for Medical Summarization ↗Yash Mathur, Sanketh Rangreji, Raghav Kapoor et al.18 citations
  5. Can Large Language Models Safely Address Patient Questions Following Cataract Surgery? ↗Mohita Chowdhury, Ernest Lim, Aisling Higham et al.15 citations
  6. Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text ↗Yuxing Lu, Xukai Zhao, Jinzhuo Wang12 citations
  7. GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning ↗Xiangru Tang, Andrew Tran, Jeffrey Tan et al.10 citations
  8. Multilingual Clinical NER: Translation or Cross-lingual Transfer? ↗Félix Gaschi, Xavier Fontaine, Parisa Rastin et al.10 citations
  9. UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition ↗Aidan Mannion, Didier Schwab, Lorraine Goeuriot10 citations
  10. Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings ↗Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan et al.9 citations

All accepted papers (58)

The most cited first; 1 with our summary link to their page here, the others to the original.

  1. WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models ↗John Giorgi, Augustin Toma, Ronald Xie et al.27 citations
  2. Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations ↗Asma Ben Abacha, Wen-wai Yim, Griffin Adams et al.19 citations
  3. Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning ↗Giridhar Kaushik Ramachandran, Yujuan Fu, Bin Han et al.18 citations
  4. SummQA at MEDIQA-Chat 2023: In-Context Learning with GPT-4 for Medical Summarization ↗Yash Mathur, Sanketh Rangreji, Raghav Kapoor et al.18 citations
  5. Can Large Language Models Safely Address Patient Questions Following Cataract Surgery? ↗Mohita Chowdhury, Ernest Lim, Aisling Higham et al.15 citations
  6. Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text ↗Yuxing Lu, Xukai Zhao, Jinzhuo Wang12 citations
  7. GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning ↗Xiangru Tang, Andrew Tran, Jeffrey Tan et al.10 citations
  8. Multilingual Clinical NER: Translation or Cross-lingual Transfer? ↗Félix Gaschi, Xavier Fontaine, Parisa Rastin et al.10 citations
  9. UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition ↗Aidan Mannion, Didier Schwab, Lorraine Goeuriot10 citations
  10. Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings ↗Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan et al.9 citations
  11. Context-aware Medication Event Extraction from Unstructured Text ↗Noushin Salek Faramarzi, Meet Patel, Sai Harika Bandarupally et al.8 citations
  12. Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models ↗Varun Nair, Elliot Schumacher, Anitha Kannan8 citations
  13. Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles ↗Weipeng Zhou, Majid Afshar, Dmitriy Dligach et al.8 citations
  14. Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning ↗Brihat Sharma, Yanjun Gao, Timothy Miller et al.8 citations
  15. Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications ↗Usman Naseem, Surendrabikram Thapa, Qi Zhang et al.8 citations
  16. UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations? ↗Junda Wang, Zonghai Yao, Avijit Mitra et al.8 citations
  17. A Survey of Evaluation Methods of Generated Medical Textual Reports ↗Yongxin Zhou, Fabien Ringeval, François Portet7 citations
  18. DS4DH at MEDIQA-Chat 2023: Leveraging SVM and GPT-3 Prompt Engineering for Medical Dialogue Classification and Summarization ↗Boya Zhang, Rahul Mishra, Douglas Teodoro7 citations
  19. Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning ↗Lifeng Han, Gleb Erofeev, Irina Sorokina et al.6 citations
  20. Prompt Discriminative Language Models for Domain Adaptation ↗Keming Lu, Peter Potash, Xihui Lin et al.6 citations
  21. Calvados at MEDIQA-Chat 2023: Improving Clinical Note Generation with Multi-Task Instruction Finetuning ↗Kirill Milintsevich, Navneet Agarwal5 citations
  22. Intersectionality and Testimonial Injustice in Medical Records ↗Kenya Andrews, Bhuvni Shah, Lu Cheng5 citations
  23. Pre-trained language models in Spanish for health insurance coverage ↗Claudio Aracena, Nicolás Rodríguez, Victor Rocco et al.5 citations
  24. Team Cadence at MEDIQA-Chat 2023: Generating, augmenting and summarizing clinical dialogue with large language models ↗Ashwyn Sharma, David Feldman, Aneesh Jain5 citations
  25. Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection ↗Nadine Abdelhalim, Ingy Abdelhalim, Riza Batista-Navarro5 citations

See all 58 papers in Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2023 — accepted papers →

 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

  1. DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving AgentsWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECVarun Nair, Elliot Schumacher, Geoffrey Tso, et al.2023 · 55 citations

 Top topics

Topics of its works in our library, with the number of works on each.

Dialogue systems (1)

 Fields

Arts and Humanities (1)Computer Science (1)Medicine (1)

works and citations from OpenAlex and our library.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/clinicalnlp/2023/